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cs.LG2023
Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach
Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
In this paper, we propose an online convex optimization approach with two different levels of adaptivity. On a higher level, our approach is agnostic to the unknown types and curva…
cs.LG2023★ 4 cited
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning
Yunlu Yan, Huazhu Fu, Yuexiang Li +4
Federated Learning (FL) facilitates collaborative learning among multiple clients in a distributed manner and ensures the security of privacy. However, its performance inevitably d…